Raw and processed data set for optimization of bio-oil production from microwave co-pyrolysis of food waste and low-density polyethylene with response surface methodology

This scientific data article is related to the research work entitled “Optimization of bio-oil production from microwave co-pyrolysis of food waste and low-density polyethylene with response surface methodology” published in “Journal of Environmental Management” (10.1016/j.jenvman.2021.113345). In t...

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Detalles Bibliográficos
Autores principales: Neha, Shukla, Remya, Neelancherry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006634/
https://www.ncbi.nlm.nih.gov/pubmed/35434229
http://dx.doi.org/10.1016/j.dib.2022.108093
Descripción
Sumario:This scientific data article is related to the research work entitled “Optimization of bio-oil production from microwave co-pyrolysis of food waste and low-density polyethylene with response surface methodology” published in “Journal of Environmental Management” (10.1016/j.jenvman.2021.113345). In this work, collection of Food Waste (FW) and Low-density polyethylene (LDPE) for 7 consecutive days and its characterization was done. Based on the characterization, the composition of simulated FW was fixed for different experimental runs. Valorization of feedstock (FW and LDPE) with increasing temperature with/without the presence of microwave susceptor was analyzed. Statistical significance of LDPE and microwave susceptor addition on bio-oil yield and Total Acid Number (TAN) was verified with single-factor ANOVA. The outcomes of the present dataset will be helpful for the researchers and engineers working in the field of bio-oil generation from microwave co-pyrolysis of mixed waste.

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